update config file

configs/_base_/faster-rcnn_r50_fpn_1x_coco.py

@@ -173,34 +173,34 @@ dataset_type = 'CocoDataset'
 data_root = 'data/'
 img_norm_cfg = dict(
     mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
-train_pipeline = [
-    dict(type='LoadImageFromFile'),
-    dict(type='LoadAnnotations', with_bbox=True),
-    dict(type='Resize', img_scale=(1333, 800), keep_ratio=True),
-    dict(type='RandomFlip', flip_ratio=0.5),
-    dict(type='Normalize', **img_norm_cfg),
-    dict(type='Pad', size_divisor=32),
-    dict(type='DefaultFormatBundle'),
-    dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']),
-]
-test_pipeline = [
-    dict(type='LoadImageFromFile'),
-    dict(
-        type='MultiScaleFlipAug',
-        img_scale=(1333, 800),
-        flip=False,
-        transforms=[
-            dict(type='Resize', keep_ratio=True),
-            dict(type='RandomFlip'),
-            dict(type='Normalize', **img_norm_cfg),
-            dict(type='Pad', size_divisor=32),
-            dict(type='ImageToTensor', keys=['img']),
-            dict(type='Collect', keys=['img']),
-        ])
-]
+# train_pipeline = [
+#     dict(type='LoadImageFromFile'),
+#     dict(type='LoadAnnotations', with_bbox=True),
+#     dict(type='Resize', img_scale=(1333, 800), keep_ratio=True),
+#     dict(type='RandomFlip', flip_ratio=0.5),
+#     dict(type='Normalize', **img_norm_cfg),
+#     dict(type='Pad', size_divisor=32),
+#     dict(type='DefaultFormatBundle'),
+#     dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']),
+# ]
+# test_pipeline = [
+#     dict(type='LoadImageFromFile'),
+#     dict(
+#         type='MultiScaleFlipAug',
+#         img_scale=(1333, 800),
+#         flip=False,
+#         transforms=[
+#             dict(type='Resize', keep_ratio=True),
+#             dict(type='RandomFlip'),
+#             dict(type='Normalize', **img_norm_cfg),
+#             dict(type='Pad', size_divisor=32),
+#             dict(type='ImageToTensor', keys=['img']),
+#             dict(type='Collect', keys=['img']),
+#         ])
+# ]
 
 metainfo = {
-    'classes': ('orgaquant', ),
+    'classes': ('organoid', ),
     'palette': [
         (220, 20, 60),
     ]